Jianqing Fan

Summary

Affiliation: Princeton University
Country: USA

Publications

  1. ncbi request reprint Statistical analysis of DNA microarray data in cancer research
    Jianqing Fan
    Statistics Lab, Department of Operations Research and Financial Engineering, Princeton University, New Jersey 08540, USA
    Clin Cancer Res 12:4469-73. 2006
  2. pmc A Selective Overview of Variable Selection in High Dimensional Feature Space
    Jianqing Fan
    Frederick L Moore 18 Professor of Finance, Department of Operations Research and Financial Engineering, Princeton University, Princeton, NJ 08544, USA
    Stat Sin 20:101-148. 2010
  3. pmc Challenges of Big Data Analysis
    Jianqing Fan
    Department of Operations Research and Financial Engineering, Princeton University, Princeton, NJ 08544, USA
    Natl Sci Rev 1:293-314. 2014
  4. pmc Analysis of Longitudinal Data with Semiparametric Estimation of Covariance Function
    Jianqing Fan
    Frederick Moore Professor of Finance, Department of Operation Research and Financial Engineering, Princeton University, Princeton, NJ 08544
    J Am Stat Assoc 102:632-641. 2007
  5. pmc Multi-Agent Inference in Social Networks: A Finite Population Learning Approach
    Jianqing Fan
    Frederick L Moore 18 Professor of Finance, Department of Operations Research and Finance Engineering, Princeton University, Princeton, NJ 08544, and Adjunct Professor, School of International Economics and Management, Capital University of Economics and Business
    J Am Stat Assoc 110:149-158. 2015
  6. pmc Feature Augmentation via Nonparametrics and Selection (FANS) in High-Dimensional Classification
    Jianqing Fan
    Jianqing Fan is Frederick L Moore Professor of Finance, Department of Operations Research and Financial Engineering, Princeton University, Princeton, NJ, 08544
    J Am Stat Assoc 111:275-287. 2016
  7. pmc Vast Volatility Matrix Estimation using High Frequency Data for Portfolio Selection
    Jianqing Fan
    Department of Operations Research and Financial Engineering, Princeton University, Princeton, NJ 08544
    J Am Stat Assoc 107:412-428. 2012
  8. pmc Statistical analysis of big data on pharmacogenomics
    Jianqing Fan
    Department of Operations Research and Financial Engineering, Princeton University, Princeton, NJ 08544, USA
    Adv Drug Deliv Rev 65:987-1000. 2013
  9. ncbi request reprint Selection and validation of normalization methods for c-DNA microarrays using within-array replications
    Jianqing Fan
    Department of Operations Research and Financial Engineering Princeton University, Princeton, NJ 08544, USA
    Bioinformatics 23:2391-8. 2007
  10. pmc Removing intensity effects and identifying significant genes for Affymetrix arrays in macrophage migration inhibitory factor-suppressed neuroblastoma cells
    Jianqing Fan
    Department of Operation Research and Financial Engineering, Princeton University, Princeton, NJ 08544, USA
    Proc Natl Acad Sci U S A 102:17751-6. 2005

Collaborators

Detail Information

Publications15

  1. ncbi request reprint Statistical analysis of DNA microarray data in cancer research
    Jianqing Fan
    Statistics Lab, Department of Operations Research and Financial Engineering, Princeton University, New Jersey 08540, USA
    Clin Cancer Res 12:4469-73. 2006
    ..Emphasis has been given to normalization of expression from multiple arrays, selecting significantly differentially expressed genes, tumor classifications, and gene expression pathways and networks...
  2. pmc A Selective Overview of Variable Selection in High Dimensional Feature Space
    Jianqing Fan
    Frederick L Moore 18 Professor of Finance, Department of Operations Research and Financial Engineering, Princeton University, Princeton, NJ 08544, USA
    Stat Sin 20:101-148. 2010
    ..We also review some recent advances in ultra-high dimensional variable selection, with emphasis on independence screening and two-scale methods...
  3. pmc Challenges of Big Data Analysis
    Jianqing Fan
    Department of Operations Research and Financial Engineering, Princeton University, Princeton, NJ 08544, USA
    Natl Sci Rev 1:293-314. 2014
    ..They can lead to wrong statistical inferences and consequently wrong scientific conclusions...
  4. pmc Analysis of Longitudinal Data with Semiparametric Estimation of Covariance Function
    Jianqing Fan
    Frederick Moore Professor of Finance, Department of Operation Research and Financial Engineering, Princeton University, Princeton, NJ 08544
    J Am Stat Assoc 102:632-641. 2007
    ..Finite sample performance of the proposed procedures is assessed by Monte Carlo simulation studies. The proposed methodology is illustrated by an analysis of a real data example...
  5. pmc Multi-Agent Inference in Social Networks: A Finite Population Learning Approach
    Jianqing Fan
    Frederick L Moore 18 Professor of Finance, Department of Operations Research and Finance Engineering, Princeton University, Princeton, NJ 08544, and Adjunct Professor, School of International Economics and Management, Capital University of Economics and Business
    J Am Stat Assoc 110:149-158. 2015
    ..Serving as a foundation, this concept enables us to study the long run trend of aggregate inference quality as population grows...
  6. pmc Feature Augmentation via Nonparametrics and Selection (FANS) in High-Dimensional Classification
    Jianqing Fan
    Jianqing Fan is Frederick L Moore Professor of Finance, Department of Operations Research and Financial Engineering, Princeton University, Princeton, NJ, 08544
    J Am Stat Assoc 111:275-287. 2016
    ..Real data analysis demonstrates that FANS performs very competitively on benchmark email spam and gene expression data sets. Moreover, FANS is implemented by an extremely fast algorithm through parallel computing...
  7. pmc Vast Volatility Matrix Estimation using High Frequency Data for Portfolio Selection
    Jianqing Fan
    Department of Operations Research and Financial Engineering, Princeton University, Princeton, NJ 08544
    J Am Stat Assoc 107:412-428. 2012
    ..The advantage of using high-frequency data is significant in our simulation and empirical studies, which consist of 50 simulated assets and 30 constituent stocks of Dow Jones Industrial Average index...
  8. pmc Statistical analysis of big data on pharmacogenomics
    Jianqing Fan
    Department of Operations Research and Financial Engineering, Princeton University, Princeton, NJ 08544, USA
    Adv Drug Deliv Rev 65:987-1000. 2013
    ..Several new challenges of Big data analysis, including complex data distribution, missing data, measurement error, spurious correlation, endogeneity, and the need for robust statistical methods, are also discussed. ..
  9. ncbi request reprint Selection and validation of normalization methods for c-DNA microarrays using within-array replications
    Jianqing Fan
    Department of Operations Research and Financial Engineering Princeton University, Princeton, NJ 08544, USA
    Bioinformatics 23:2391-8. 2007
    ..A fundamental problem arises whether they have effectively normalized arrays. In addition, for a given array, the question arises how to choose a method to most effectively normalize the microarray data...
  10. pmc Removing intensity effects and identifying significant genes for Affymetrix arrays in macrophage migration inhibitory factor-suppressed neuroblastoma cells
    Jianqing Fan
    Department of Operation Research and Financial Engineering, Princeton University, Princeton, NJ 08544, USA
    Proc Natl Acad Sci U S A 102:17751-6. 2005
    ..Our data not only demonstrate that targeting MIF expression is a promising therapeutic strategy in human neuroblastoma therapy but also indicate the MIF target genes for additional study...
  11. pmc Normalization and analysis of cDNA microarrays using within-array replications applied to neuroblastoma cell response to a cytokine
    Jianqing Fan
    Department of Operation Research and Financial Engineering, Princeton University, Princeton, NJ 08544, USA
    Proc Natl Acad Sci U S A 101:1135-40. 2004
    ..The findings provide clues as to the molecular mechanisms of MIF-mediated tumor progression and supply therapeutic targets for neuroblastoma treatment...
  12. pmc Robust Inference of Risks of Large Portfolios
    Jianqing Fan
    Department of Operations Research and Financial Engineering, Princeton University, USA
    J Econom 194:298-308. 2016
    ..We further provide thorough numerical results to back up the developed theory, and also apply the proposed method to analyze a stock market dataset...
  13. pmc A computational approach to the functional clustering of periodic gene-expression profiles
    Bong Rae Kim
    Department of Operation Research and Financial Engineering, Princeton University, Princeton, New Jersey 08544, USA
    Genetics 180:821-34. 2008
    ..The model proposed can be useful for characterizing the complex biological effects of gene expression and generate testable hypotheses about the workings of developmental systems in a more precise quantitative way...
  14. pmc Nonparametric Independence Screening in Sparse Ultra-High Dimensional Additive Models
    Jianqing Fan
    Jianqing Fan is Frederick L Moore Professor of Finance, Department of Operations Research and Financial Engineering, Princeton University, Princeton NJ 08544 Yang Feng is Assistant Professor, Department of Statistics, Columbia University, New York, NY 10027 Rui Song is Assistant Professor, Department of Statistics, Colorado State University, Fort Collins, CO 80523
    J Am Stat Assoc 106:544-557. 2011
    ..The simulation results and a real data analysis demonstrate that the proposed procedure works well with moderate sample size and large dimension and performs better than competing methods...
  15. ncbi request reprint Involvement of visinin-like protein-1 (VSNL-1) in regulating proliferative and invasive properties of neuroblastoma
    Yi Xie
    Department of Surgery, The University of Hong Kong, Hong Kong SAR, China
    Carcinogenesis 28:2122-30. 2007
    ..These results suggested that distinct roles of proliferative and invasive phenotypes contributed to neuroblastoma progression and strongly demonstrated that VSNL-1 played a very important role in neuroblastoma metastasis...